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New Grad Ai Software Engineer Jobs in Wisconsin (NOW HIRING)

WI · On-site

$125 - $150/hr

The job As an AI Software Engineer at Dataroots, you play a key role in delivering end-to-end data and AI solutions for our clients. Working within a broader ecosystem of AI engineers, data engineers ...

WI · On-site

$250/hr

Senior Principal, AI Software Engineer- Agentic & Industry SolutionsSkip to main contentThis site ... that validate new business opportunities and technical approaches • Rapidly experiment with ...

WI · On-site

$250/hr

Senior Principal, AI Software Engineer- Agentic & Industry SolutionsSkip to main contentThis site ... that validate new business opportunities and technical approaches • Rapidly experiment with ...

WI · On-site

$200 - $250/hr

AI Engineering Team Lead (.NET / React) Overview We are seeking an AI Engineering Team Lead to lead a team of software engineers while remaining deeply involved in architecture, development, and ...

WI · On-site

$150 - $200/hr

... new techniques where they create tangible value. Required Qualifications 12+ years of hands-on professional experience in software engineering, with at least 4-6 years specifically in AI/ML systems ...

Senior AI Engineer

Madison, WI · On-site

$120K - $158K/yr

You combine strong software engineering fundamentals with hands-on experience using modern AI ... Explore new approaches and share learnings. Support the evaluation and adoption of emerging ...

WI · On-site

$100 - $125/hr

## Software Engineer - AI/MLApplylocations: Leuven, Belgiumtime type: Full timeposted on: Posted ... Conduct research to explore new methodologies or improve existing ones, ensuring our solutions ...

WI · On-site

$125 - $150/hr

This role is ideal for engineers who love solving complex problems, building production software, and learning new technologies in a fast-moving AI landscape. Role Description * Design and develop ...

WI · On-site

$150 - $200/hr

As a Lead Software Engineer (Staff Engineer), you will own core backend and AI orchestration ... Be a go‑to expert in new model capabilities, collaborating closely with AI/ML engineers ...

New

WI · On-site

$100 - $125/hr

The role requires strong software engineering skills, including robust APIs, full-stack development, data pipelines, and production-grade code. Responsibilities * Design and implement scalable AI ...

WI · On-site

$150 - $200/hr

APPLICATION SOFTWARE ENGINEER, APPLIED AI The application software team is the central nervous ... Create new applications that improve how SpaceX operates by incorporating modern large language ...

WI · On-site

$200 - $250/hr

... new tools, and architectural patterns with a pragmatic, production-first mindset Establish and ... impact group of software engineers, data scientists, and data engineers building the AI ...

WI · On-site

$150 - $200/hr

APPLICATION SOFTWARE ENGINEER, APPLIED AI The application software team is the central nervous ... Create new applications that improve how SpaceX operates by incorporating modern large language ...

WI · On-site

$125 - $150/hr

... AI solutions and are committed to advancing the state of the art of Sport through continuous ... new and meaningful ways. Weseek a talented Software Engineer to join ...

Demonstrated ability to learn new technologies, tools, and domains quickly and independently ... AI/ML acceleration technologies, tensor cores, or deep learning workloads. * IPC, microservices ...

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Showing results 1-20

New Grad Ai Software Engineer information

What does a new grad AI software engineer do?

A New Grad AI Software Engineer is an entry-level professional who designs, develops, and tests artificial intelligence systems and applications. They often work with machine learning models, data processing, and software development tools to build intelligent solutions. Their responsibilities may include coding, debugging, collaborating with senior engineers, and staying updated on the latest AI techniques. This role provides valuable hands-on experience and opportunities to contribute to innovative AI projects while learning from experienced colleagues.

What are the key skills and qualifications needed to thrive as a new grad AI software engineer, and why are they important?

To thrive as a New Grad AI Software Engineer, you need a strong background in computer science fundamentals, programming (Python, Java, or C++), and a solid understanding of machine learning concepts, often supported by a relevant bachelor's or master's degree. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data processing tools, and knowledge of cloud platforms like AWS or Azure are typically required. Strong problem-solving abilities, a willingness to learn, and effective teamwork and communication skills help new grads stand out. These skills and qualities enable engineers to contribute to complex AI projects, adapt to evolving technologies, and collaborate effectively within multidisciplinary teams.

What are some common challenges faced by new grad AI software engineers in their first year on the job?

New grad AI Software Engineers often face the challenge of bridging the gap between academic knowledge and real-world application. Adapting to large, production-level codebases, collaborating effectively within cross-functional teams, and learning to balance experimentation with delivery timelines are common hurdles. Additionally, keeping up with rapidly evolving AI technologies while mastering company-specific tools and workflows can be demanding. However, mentorship programs and regular code reviews are typically in place to support new grads as they grow into their role.

What is the difference between New Grad Ai Software Engineer vs Ai Software Engineer?

AspectNew Grad Ai Software EngineerAi Software Engineer
Required CredentialsBachelor's degree in CS, AI, or related field; internship experience preferredBachelor's or Master's degree; 1+ years experience often required
Work EnvironmentEntry-level, collaborative teams, mentorship programsMid-level to senior teams, more independent responsibilities
Employer & Industry UsageTech companies, startups, research labs hiring new graduatesEstablished companies, industry projects, ongoing AI development

The main difference between a New Grad Ai Software Engineer and an Ai Software Engineer is experience level. The new graduate role is designed for recent graduates with limited professional experience, focusing on learning and growth. In contrast, an Ai Software Engineer typically has more experience, handling complex projects independently. Both roles require a strong foundation in AI and software development, but the level of responsibility and independence increases with experience.

What cities in Wisconsin are hiring for New Grad Ai Software Engineer jobs?

Cities in Wisconsin with the most New Grad Ai Software Engineer job openings:

$125 - $150/hr

Other

Re-posted 23 hours ago


Key responsibilities

  • Design, build, and deploy production-ready AI systems that create real business value.

  • Combine software engineering and AI expertise to develop impactful applications around LLMs and GenAI use cases.

  • Ensure solutions are well-architected, scalable, secure, robust, maintainable, and ready for real-world deployment.


Job description

The job

As an AI Software Engineer at Dataroots, you play a key role in delivering end-to-end data and AI solutions for our clients. Working within a broader ecosystem of AI engineers, data engineers, and cloud experts, you combine software engineering and AI expertise to build impactful applications around LLMs and modern GenAI use cases.

You go beyond experimentation: you design, build, and deploy production-ready AI systems that create real business value. Your focus is on delivering well-architected, scalable, and secure solutions, ensuring that what you build is not just functional, but robust, maintainable, and ready to evolve in real-world settings.

The Skills Software Engineering Skills
  • Strong Python experience on larger projects with solid software design principles.
  • Proficient with Git and SQL, with hands-on experience applying DevOps/MLOps practices, including CI/CD pipelines and monitoring for AI systems.
  • Cloud engineering experience (using tools such as Terraform and Docker), and some experience architecting and deploying production-grade applications.
  • You have good knowledge of at least one cloud platform: Azure, AWS, GCP.
GenAI skills
  • Good understanding of (gen)AI concepts, and genuine interest in staying up to date with the field.
  • Experience designing, building, and deploying LLM applications in Python, with an eye for common failure modes (latency, cost, rate limits, non-determinism) and how to design around them.
  • A production mindset when working with LLM systems: thinking about reliability, evaluation, observability, and cost. You care about how these systems behave in production, not just whether they work in a demo.
  • Some familiarity with agentic and retrieval-based patterns.
  • You know the model landscape (Claude, GPT, Gemini, open-weight models) well enough to reason about trade-offs: capability, cost, and latency.
  • You take governance and security seriously: auth, data boundaries, and responsible use of AI in enterprise environments.
Nice to have
  • You use AI tools daily to design, write, and review code with the ability to critically evaluate their output.
  • Hands-on experience with data engineering (ELT, orchestration) or managed data platforms (e.g. Databricks, Fabric).
  • You are opinionated about governance, security, and responsible use of AI in real-world environments.
  • Affinity with application security and cloud networking.
  • Experience deploying applications on Kubernetes.

Not every box needs to be ticked to be a great fit. If you're excited about the role and eager to grow, we'd still love to hear from you.

Why choose Dataroots?

We're a data & AI consulting company where people, growth, and impact go hand in hand. Since our early days, we've built a culture that values collaboration, knowledge sharing, and an environment where individuals can thrive. This focus has allowed us to grow steadily while staying true to what matters: delivering meaningful results for our clients and creating a place where people enjoy doing their best work.

Working at Dataroots means gaining exposure to a wide range of industries, challenges, and technologies. You'll have the opportunity to step outside your comfort zone, while being supported by experienced colleagues who are always ready to share their expertise.

As part of the Talan Group, we further extend these opportunities by offering an international dimension to your career path.

The Offer
  • An attractive salary with extralegal benefits, including:
    • Mobility budget or a company car with fuel/charging card
    • Hospitalization and group insurance
    • High-end laptop
    • Smartphone with subscription
    • Substantial amount of holidays
    • Meal vouchers
    • ...
  • Diverse and welcoming work environment, where you'll collaborate & unwind with colleagues from different cultures and disciplines.
  • A training budget for individual and team learning opportunities.
  • Tons of team-building events and sports initiatives to stay connected and unwind.
Where you'll work

Our main offices are in Leuven and Ghent. These spaces are perfect for both focusing and unwinding with colleagues, as well as brainstorming sessions and team events.

While much of your work can be performed remotely, you will also work on-site with clients.

Ready to join Dataroots?

You'll shape the future of AI with us? We're looking forward to hearing from you!

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